Weekly Reflection on Behaviorism
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Questions and Answers

What type of learning is indicated by the strengthening of the association between a neutral stimulus and an unconditioned stimulus?

  • Operant Conditioning
  • Sensitization
  • Habituation
  • Classical Conditioning (correct)

Which principle states that behaviors followed by rewards are likely to be repeated while those followed by punishment are likely to be avoided?

  • Law of Effect (correct)
  • Principle of Reinforcement
  • Law of Association
  • Theory of Behaviorism

What is the primary focus of operant conditioning?

  • Reward and punishment effects on behavior (correct)
  • Simple learning processes
  • Association between stimuli
  • Habituation responses

What does reductivism suggest regarding emotions such as sadness?

<p>Sadness is equivalent to observable behavior. (A)</p> Signup and view all the answers

Which method allows for the systematic study of how behavior is influenced by reward and punishment?

<p>Skinner Box (B)</p> Signup and view all the answers

What is the deadline for weekly quiz submissions?

<p>Friday at 11:59 pm (D)</p> Signup and view all the answers

What is the grace period for quiz submissions?

<p>Submissions accepted until Monday at 11:59 pm (B)</p> Signup and view all the answers

What key component is reserved for full credit (5pts) in the reflection question?

<p>Active, independent, critical engagement with key points (B)</p> Signup and view all the answers

Which of the following should NOT be included in the scientific explanations according to behaviorism?

<p>Thoughts (D)</p> Signup and view all the answers

Which aspect about the reflection question grading can be inferred?

<p>Clarity and conciseness are important (C)</p> Signup and view all the answers

What is the primary component excluded from scientific explanations according to behaviorism?

<p>Thoughts (D)</p> Signup and view all the answers

What is the submission method for weekly quizzes?

<p>Submit on eclass (C)</p> Signup and view all the answers

Which principle is emphasized by the expectations for a reflection question response to achieve full credit?

<p>Independent and critical engagement is key (C)</p> Signup and view all the answers

What is the latest deadline to submit quizzes if utilizing the grace period?

<p>Monday at 11:59 pm (D)</p> Signup and view all the answers

In behaviorism, what type of factors are focused on while internal states are largely ignored?

<p>Stimuli and responses (D)</p> Signup and view all the answers

What does operant conditioning primarily focus on?

<p>The effects of rewards and punishments on behavior (D)</p> Signup and view all the answers

Which of the following best describes the Law of Effect?

<p>Consequences of behavior determine future actions (D)</p> Signup and view all the answers

In classical conditioning, what role does a neutral stimulus play before conditioning occurs?

<p>It has no effect on the subject (B)</p> Signup and view all the answers

Which of the following statements aligns with the concept of reductivism regarding emotions?

<p>Sadness can be fully understood through observable behavior (C)</p> Signup and view all the answers

Which principle is illustrated by the use of a Skinner Box in operant conditioning experiments?

<p>The reinforcement of behavior through systematic rewards (B)</p> Signup and view all the answers

What aspect of the reflection question is essential for scoring a full 5 points?

<p>Active, independent engagement with key points (D)</p> Signup and view all the answers

Which of the following elements is excluded from scientific explanations in behaviorism?

<p>Cognitive processes (A)</p> Signup and view all the answers

What is one of the primary focuses of the behaviorist approach?

<p>Stimulus-response relationships (A)</p> Signup and view all the answers

What is the latest possible time to submit quizzes during the grace period?

<p>Monday at 11:59 pm (C)</p> Signup and view all the answers

Which statement reflects a key principle of behaviorism?

<p>Stimuli can lead to predictable responses. (D)</p> Signup and view all the answers

What distinguishes operant conditioning from classical conditioning?

<p>Operant conditioning involves reinforcement through rewards or punishments. (C)</p> Signup and view all the answers

Which statement best describes the concept of habituation?

<p>It is a process where an organism becomes accustomed to a stimulus. (A)</p> Signup and view all the answers

In the context of behaviorism, which term best describes the idea that emotions are merely a manifestation of behavior?

<p>Eliminativism (D)</p> Signup and view all the answers

How does the Skinner Box facilitate the study of behavior according to operant conditioning?

<p>It enables the examination of the relationship between behavior and consequences. (D)</p> Signup and view all the answers

What principle is highlighted by the Law of Effect in operant conditioning?

<p>Behaviors are repeated when they are followed by positive outcomes. (C)</p> Signup and view all the answers

What does behaviorism primarily focus on when studying organisms?

<p>Experimental observation and responses (B)</p> Signup and view all the answers

Which element is crucial for identifying the stimulus in a behavioral response?

<p>The observable reaction to the stimulus (D)</p> Signup and view all the answers

How do background mental states complicate stimulus-response relationships in behaviorism?

<p>They necessitate assumptions about unobservable factors. (B)</p> Signup and view all the answers

In the context of behaviorism, what role does a stimulus play?

<p>It triggers a predictable physical response. (A)</p> Signup and view all the answers

What can often hinder the accurate understanding of behavior in behaviorism?

<p>Interpretations based on mental states (A)</p> Signup and view all the answers

Which of the following statements aligns with the principles of behaviorism regarding mental states?

<p>Only observable behaviors should be considered. (A)</p> Signup and view all the answers

What does identifying a response entail in a behaviorist framework?

<p>Understanding the stimulus that created it. (D)</p> Signup and view all the answers

What is a potential drawback of focusing solely on observable behavior in behaviorism?

<p>Reduction of complex behaviors to simple reactions. (B)</p> Signup and view all the answers

What characterizes latent learning according to Tolman and Honzik?

<p>Learning that is independent of reinforcement (D)</p> Signup and view all the answers

What do cognitive maps allow rats to represent?

<p>The spatial layout of their environment (D)</p> Signup and view all the answers

What type of learning did Tolman and his colleagues conclude rats use to navigate mazes?

<p>Place learning (B)</p> Signup and view all the answers

What is a limitation associated with understanding latent learning?

<p>It cannot explain unobservable mental states (B)</p> Signup and view all the answers

Which statement accurately describes the relationship between stimuli and hidden learning?

<p>Interactions between stimuli and mental states are crucial to understanding behavior (C)</p> Signup and view all the answers

Which of the following describes the concept of 'place learning'?

<p>Learning that involves mapping the environment's structure (D)</p> Signup and view all the answers

What do researchers suggest about the concept of 'hidden learning'?

<p>It requires consideration of unobservable cognitive processes (A)</p> Signup and view all the answers

Which factor is emphasized when discussing cognitive maps in behavior?

<p>The importance of cognitive processes in navigation (D)</p> Signup and view all the answers

What are the two central components of behaviorism?

<p>Stimulus and response (A)</p> Signup and view all the answers

Which of the following statements best captures the assumption about mental states in behaviorism?

<p>Behavior can be fully understood without reference to mental states. (C)</p> Signup and view all the answers

Identifying a stimulus in behaviorism typically requires understanding which of the following?

<p>External environmental factors (C)</p> Signup and view all the answers

What fundamental issue arises when analyzing stimulus-response relationships without considering background mental states?

<p>Difficulty in predicting or describing responses. (A)</p> Signup and view all the answers

Which of the following aspects of behaviorism focuses on what can be experimentally observed?

<p>Stimulus-response relationship (A)</p> Signup and view all the answers

How do background mental states impact the understanding of behavior in a behaviorist framework?

<p>They complicate the direct relationship between stimulus and response. (A)</p> Signup and view all the answers

When assessing a behavioral response, what primary component must be identified first?

<p>The specific stimulus that triggered the response (B)</p> Signup and view all the answers

What is a notable limitation of behaviorism regarding emotional understanding?

<p>It primarily focuses on observable behaviors and neglects emotions. (C)</p> Signup and view all the answers

What is the main characteristic of latent learning as demonstrated by Tolman and Honzik's research?

<p>Learning takes place without any reinforcement. (D)</p> Signup and view all the answers

What type of learning did Tolman, Ritchie, and Kalish conclude rats predominantly use?

<p>Place learning represented through cognitive maps. (A)</p> Signup and view all the answers

Which of the following best describes the concept of 'cognitive maps' as identified in the study of latent learning?

<p>Mental representations of spatial layouts. (A)</p> Signup and view all the answers

What limitation is associated with the theory of latent learning?

<p>It lacks empirical testability. (A)</p> Signup and view all the answers

What does the concept of 'place learning' emphasize compared to 'response learning'?

<p>It prioritizes understanding of spatial relationships over movement patterns. (B)</p> Signup and view all the answers

What is a key factor that complicates behavioral responses in the context of behaviorism?

<p>The existence of unobservable internal mental states. (B)</p> Signup and view all the answers

What information do rats store while engaging in place learning in a maze?

<p>A mental map of the maze’s spatial layout. (A)</p> Signup and view all the answers

Why do behaviorists find it difficult to explain certain responses only in terms of stimuli?

<p>Responses are influenced by internal mental states that are not directly observable. (C)</p> Signup and view all the answers

What is the significance of rules in the context of combining symbols into structures?

<p>Rules govern how symbols can be combined and are recursive. (C)</p> Signup and view all the answers

In the framework of problem solving, what does the search space represent?

<p>All possible states that can result from symbol transformations. (C)</p> Signup and view all the answers

Which statement accurately defines a physical symbol system in relation to intelligence?

<p>It is necessary and sufficient for problem solving. (C)</p> Signup and view all the answers

What does the concept of means-end analysis involve in the context of problem solving?

<p>Analyzing the means by which one can reach a desired solution state. (C)</p> Signup and view all the answers

What best describes the computational theory of mind?

<p>Mental processes involve computation in representing and manipulating information. (A)</p> Signup and view all the answers

What is involved in the computational theory of mind?

<p>Representing problems and following rules to derive solutions (B)</p> Signup and view all the answers

What is the primary function of a Turing machine in the context provided?

<p>To represent and manipulate symbols according to defined rules (B)</p> Signup and view all the answers

In the context of the Machine Table for adding 1, what occurs when the machine starts in state A with a cell reading 0?

<p>The machine writes a 1, moves Right, and remains in state A. (A)</p> Signup and view all the answers

What does the Physical Symbol System Hypothesis state?

<p>General intelligent action requires a physical symbol system. (D)</p> Signup and view all the answers

If a Turing machine is in state B and reads a 1, what is the machine's next action?

<p>Move Left and halt the operation. (A)</p> Signup and view all the answers

What is the outcome if the Turing machine reads a blank space in state A?

<p>It moves Left and transitions to state B. (D)</p> Signup and view all the answers

What aspect of mental processes is represented in the physical symbol system?

<p>Cognitive computations and rule-based representations (B)</p> Signup and view all the answers

What does the notation '0, R, A' indicate in the machine table for the Turing machine?

<p>Write 0, move Right, and stay in state A. (A)</p> Signup and view all the answers

What defines the semantic properties of a representation?

<p>The meaning and content of the representation (D)</p> Signup and view all the answers

What is the significance of causal interactions between physical structures in the context of causation through content?

<p>They determine sentence structures in the language of thought. (D)</p> Signup and view all the answers

What defines a physical symbol system?

<p>It combines symbols to facilitate general intelligent action. (B)</p> Signup and view all the answers

What are the two main components of a propositional attitude?

<p>Propositional content and an attitudinal component (C)</p> Signup and view all the answers

How do syntactic rules relate to semantic relations according to the Language of Thought hypothesis?

<p>They function to mirror the logical connections between propositions. (C)</p> Signup and view all the answers

Which of the following best describes the syntactic level in the language of thought?

<p>It concerns sentences interacting through formal properties. (D)</p> Signup and view all the answers

What does Eliminative Materialism suggest regarding propositional attitudes?

<p>They are flawed and should be replaced by a more mature understanding of neuroscience. (D)</p> Signup and view all the answers

How do propositional attitudes influence behavior, according to the language of thought hypothesis?

<p>By providing a framework for understanding beliefs, desires, and motivations. (B)</p> Signup and view all the answers

What is a key assertion made by Fodor's argument for the Language of Thought hypothesis?

<p>Causal relations respect logical relations among contents. (C)</p> Signup and view all the answers

Which statement captures the relationship between syntactic structures and behavior?

<p>Syntactic processes directly produce behavioral outcomes. (B)</p> Signup and view all the answers

Which of the following best describes propositional content?

<p>The information that a person believes to be true (B)</p> Signup and view all the answers

What does the concept of intentional realism state regarding propositional attitudes?

<p>They accurately reflect the beliefs and desires driving behavior. (A)</p> Signup and view all the answers

What is implied by the assertion that behavior is caused by what is represented?

<p>Meaningful content directly drives behavioral responses. (D)</p> Signup and view all the answers

Which aspect distinguishes semantic properties from syntactic properties?

<p>Semantic properties focus on meaning while syntactic properties focus on form. (D)</p> Signup and view all the answers

Which criticism is associated with propositional attitude psychology?

<p>It overlooks the neurobiological processes behind mental states. (A)</p> Signup and view all the answers

Why are propositional attitudes significant in predicting behavior?

<p>They facilitate understanding of individual motivations and decisions. (C)</p> Signup and view all the answers

What is the key distinction made by Searle regarding understanding language?

<p>Understanding language requires attaching meaning to symbols. (D)</p> Signup and view all the answers

In the Russian room argument, what is claimed about the internal processing occurring?

<p>It is purely syntactic and does not entail actual understanding. (A)</p> Signup and view all the answers

How does the Russian room argument challenge the Turing test?

<p>It suggests that behavioral responses do not imply intelligence. (B)</p> Signup and view all the answers

What does Searle believe is involved in having mental states?

<p>The requirement of semantic interpretation of formal symbols. (C)</p> Signup and view all the answers

What does Searle imply about purely behavioral terms in understanding?

<p>Understanding should not be completely defined by observable behaviors. (B)</p> Signup and view all the answers

What does the concept of 'multiple realizability' imply about mental states?

<p>Different physical properties can embody the same mental state. (D)</p> Signup and view all the answers

How does syntax differ from semantics in terms of symbol interpretation?

<p>Syntax relates to the arrangement of symbols, while semantics addresses their meaning. (B)</p> Signup and view all the answers

What is a limitation of defining a machine's operation solely through a complete machine table?

<p>It fails to convey the intended meanings or interpretations of the operations. (A)</p> Signup and view all the answers

What is the main argument presented by the Chinese Room thought experiment?

<p>A machine can simulate understanding without comprehending the meaning. (C)</p> Signup and view all the answers

Why is the notion of 'physical symbol structures' significant to the discussion of syntax?

<p>Their operations depend only on the physical shape rather than any meaning. (A)</p> Signup and view all the answers

What does the term 'formal rules' signify in the context of syntax?

<p>Rules that dictate the acceptable arrangements and operations of symbols. (A)</p> Signup and view all the answers

Which of the following statements reflects a key distinction between syntax and semantics?

<p>Syntax pertains to the arrangement of symbols, but semantics is broader and includes context. (C)</p> Signup and view all the answers

What assumption underlies the argument for believing in the Multiple Realizability Thesis?

<p>Brain plasticity shows that mental states can adapt across various contexts. (A)</p> Signup and view all the answers

What is the primary argument of the Russian room scenario against strong AI?

<p>Computers can process symbols but lack genuine understanding. (A)</p> Signup and view all the answers

Which strategy suggests that the Russian room could lead to a system that truly understands Russian?

<p>Concede a lack of understanding but illustrate a potential developmental path. (D)</p> Signup and view all the answers

What does the 'systems reply' suggest about understanding in the context of AI?

<p>The system as a whole can possess linguistic understanding despite individual limitations. (A)</p> Signup and view all the answers

What is a major disadvantage of the concept of multiple realizability?

<p>It can lead to counterintuitive attributions of mental states. (C)</p> Signup and view all the answers

How does the robot reply challenge traditional tests of understanding?

<p>By arguing the input-output test fails to address genuine interaction with the world. (B)</p> Signup and view all the answers

What distinguishes original intentionality from derived intentionality according to the content?

<p>Original intentionality is inherent to biological brains but not to computers. (B)</p> Signup and view all the answers

What criterion for understanding is preferred over the input-output test?

<p>Appropriate interaction with the environment. (D)</p> Signup and view all the answers

What aspect of understanding does the Russian room argument particularly highlight?

<p>The ability to repeat phrases without comprehension. (A)</p> Signup and view all the answers

What does the concept of object permanence refer to in child development?

<p>Infants’ understanding that objects continue to exist when unperceived. (D)</p> Signup and view all the answers

What phenomenon characterizes the A not B error in infants?

<p>Infants consistently reach for the original hiding place despite witnessing a move. (A)</p> Signup and view all the answers

According to cognitive explanations for the A not B error, what is one reason for infants' behavior?

<p>Underdeveloped cognitive and memory abilities. (A)</p> Signup and view all the answers

What does Thelen and Smith’s Dynamical Field Model emphasize regarding infants' reaching behavior?

<p>Variability and sensitivity to changes in the infant's environment. (A)</p> Signup and view all the answers

Which aspect is NOT considered by Thelen and Smith’s model in explaining infant behavior?

<p>Emergence of executive control as a cognitive factor. (D)</p> Signup and view all the answers

What is essential for planning movement in infants learning to walk?

<p>Calculating trajectory and muscle movements (C)</p> Signup and view all the answers

Which statement best describes the dynamical systems approach to learning to walk?

<p>It models interactions between key physical variables. (C)</p> Signup and view all the answers

What occurs during the U-shaped developmental trajectory in infants regarding walking?

<p>Stepping abilities are acquired then lost. (C)</p> Signup and view all the answers

How do changes in environmental factors influence infants' ability to step?

<p>They can induce stepping motions at all developmental stages. (C)</p> Signup and view all the answers

What role does proprioceptive feedback play in executing movement in infants learning to walk?

<p>It helps calculate necessary changes in muscle movement. (D)</p> Signup and view all the answers

What is a key factor that differentiates walking from planned activities according to the content?

<p>Walking emerges from the interaction of limbs and environment. (C)</p> Signup and view all the answers

What happens to reflexive actions as infants learn voluntary movement?

<p>They become suppressed. (B)</p> Signup and view all the answers

Which of the following is most directly involved in calculating the trajectory required for walking?

<p>Vision and proprioceptive input (D)</p> Signup and view all the answers

How does the Dynamical Systems Hypothesis differ from traditional cognitive science?

<p>It conceptualizes cognition as evolving over time without relying on computation. (A)</p> Signup and view all the answers

What is a key component of a dynamical system?

<p>It tracks the relationship between quantities that change over time. (A)</p> Signup and view all the answers

What does the state space of a dynamical system represent?

<p>All possible states the system can occupy in multiple dimensions. (A)</p> Signup and view all the answers

Which mathematical tools are commonly used in dynamical modeling?

<p>Calculus including difference and differential equations. (C)</p> Signup and view all the answers

Which cognitive skills can be modeled using dynamical systems theory?

<p>Motor skills such as walking and cognitive errors like the A not B error. (C)</p> Signup and view all the answers

What does the trajectory of a system through state space indicate?

<p>The changes in the states over time from specific starting points. (D)</p> Signup and view all the answers

Why is it significant to find cognitive systems that can be better modeled by dynamical systems than traditional computational accounts?

<p>It reveals interactions with cognitively irrelevant variables. (A)</p> Signup and view all the answers

What might characterize a dynamical system in relation to its environment?

<p>An embeddedness within and interaction with its environment. (A)</p> Signup and view all the answers

What distinguishes connectionist networks from physical symbol systems?

<p>Connectionist networks often contain missing or distributed representations. (A)</p> Signup and view all the answers

In a neural network, where is the network's knowledge predominantly stored?

<p>In a single set of weights after training. (B)</p> Signup and view all the answers

Which statement best describes the representations in neural networks?

<p>Representations can be superpositional and distributed throughout the network. (A)</p> Signup and view all the answers

What is a key characteristic of physical symbol systems?

<p>They require explicit symbols for intelligent action. (A)</p> Signup and view all the answers

How do connectionist models process tasks differently from physical symbol systems?

<p>Connectionist models rely on domain-general activation functions and learning algorithms. (A)</p> Signup and view all the answers

What does it mean for a neural network to have superpositional storage?

<p>Multiple pieces of information share the same set of weights. (B)</p> Signup and view all the answers

Which statement captures the essence of the physical symbol system hypothesis?

<p>It argues that task-specific rules are essential for intelligence. (D)</p> Signup and view all the answers

Why is it challenging to think about a neural network's knowledge as composed of discrete items?

<p>Knowledge is encoded in a pattern of weights rather than identifiable units. (C)</p> Signup and view all the answers

What is the main characteristic of representations in a neural network?

<p>The network's knowledge lies in its pattern of weights. (D)</p> Signup and view all the answers

Which statement correctly contrasts connectionist networks with physical symbol systems?

<p>Connectionist networks have distributed representations. (B)</p> Signup and view all the answers

What makes it difficult to conceptualize knowledge in a neural network as discrete items?

<p>All knowledge is encoded in a single set of weights. (C)</p> Signup and view all the answers

Which of the following is a feature of physical symbol systems?

<p>They have task-specific rules. (D)</p> Signup and view all the answers

What is a primary feature of connectionism in comparison to symbolic systems?

<p>Connectionist networks often miss or distribute representations. (C)</p> Signup and view all the answers

How is knowledge processed in an artificial neural network?

<p>Using an input vector and a weight vector. (A)</p> Signup and view all the answers

What limitation does a connectionist approach face compared to physical symbol systems?

<p>It may not employ task-specific rules. (D)</p> Signup and view all the answers

What does the term 'superpositional storage' refer to in neural networks?

<p>Knowledge encoded in a single set of weights. (A)</p> Signup and view all the answers

What role does unconscious inference play in Helmholtz's model of perception?

<p>It informs the construction of a perceptual model. (D)</p> Signup and view all the answers

Which method involves the use of estimations of likelihoods and priors in Bayesianism?

<p>Inferential rules (A)</p> Signup and view all the answers

How does Bayesianism relate to the Gestalt principles of grouping?

<p>It offers a historical origin for perceptual models. (B)</p> Signup and view all the answers

What is a primary outcome of applying Bayesian inferential rules in perception?

<p>Enhanced predictions of environmental states. (B)</p> Signup and view all the answers

Which aspect of perception is significantly influenced by the Bayesian model?

<p>Estimation of uncertainty in the environment (D)</p> Signup and view all the answers

What is the significance of a three-layered network in artificial neural networks?

<p>It is proven to compute any computable function. (C)</p> Signup and view all the answers

What does the arity of a Boolean function indicate?

<p>The number of inputs to the function. (B)</p> Signup and view all the answers

In the context of single-unit networks, how is output determined?

<p>By the weights, activation functions, and a binary threshold. (D)</p> Signup and view all the answers

Which of the following best defines Boolean functions?

<p>Functions from sets of truth values to truth values. (B)</p> Signup and view all the answers

What do single-unit networks specifically model in terms of logic?

<p>Basic binary Boolean functions. (C)</p> Signup and view all the answers

Which activation function is appropriate for a single-unit network representing Boolean functions?

<p>Binary threshold activation function. (C)</p> Signup and view all the answers

Why are artificial neural networks (ANNs) considered powerful computational models?

<p>They can model any computable function. (B)</p> Signup and view all the answers

What is a limitation when working with artificial neural networks in problem-solving?

<p>The need for a large amount of training data. (C)</p> Signup and view all the answers

What is the basic principle of Hebbian learning?

<p>Neurons that fire together, wire together (B)</p> Signup and view all the answers

How does the perceptron convergence rule differ from Hebbian learning?

<p>It requires feedback based on output discrepancy (A)</p> Signup and view all the answers

What is required for multilayer networks to compute Turing-computable functions?

<p>An algorithm for multilayer training (C)</p> Signup and view all the answers

What mechanism does backpropagation use to adjust weights in a neural network?

<p>It forwards the output error and propagates it backwards (C)</p> Signup and view all the answers

What does the delta rule (perceptron convergence rule) mainly focus on during training?

<p>The difference between actual and intended outputs (A)</p> Signup and view all the answers

What is one advantage of using Hebbian learning in neural networks?

<p>It excels in pattern generalization (A)</p> Signup and view all the answers

How does the backpropagation algorithm determine the 'responsibility' of hidden units for output errors?

<p>By assessing their contribution to output errors (B)</p> Signup and view all the answers

What role does the learning rate constant ($,\epsilon$) play in the delta rule?

<p>It determines the speed of weight adjustment (C)</p> Signup and view all the answers

What is the primary function of the mindreading mechanism as presented?

<p>To predict and explain others' behavior (A)</p> Signup and view all the answers

Which of the following best describes the term 'meta-representation'?

<p>The decoupling of primary representations from their normal functions (D)</p> Signup and view all the answers

At what age does the 'Theory of Mind Mechanism' (TOMM) typically emerge according to development milestones?

<p>18-48 months (B)</p> Signup and view all the answers

Which concept distinguishes between implicit and explicit understanding of beliefs?

<p>False belief task (D)</p> Signup and view all the answers

What do the three basic mental states identified in the commonsense explanations include?

<p>Desires, beliefs, and pretence (B)</p> Signup and view all the answers

The ability to have beliefs about beliefs is referred to as what?

<p>Recursive belief system (B)</p> Signup and view all the answers

Which method is often utilized to assess whether infants understand false beliefs?

<p>Violation of expectations paradigm (C)</p> Signup and view all the answers

Which detection systems are believed to develop before the age of 9 months?

<p>Emotion Detector, Eye Direction Detector, Intentionality Detector (C)</p> Signup and view all the answers

What is the main concept behind standard simulation in understanding other people's mental states?

<p>Forming beliefs about the other person’s beliefs and predicting actions based on one's own beliefs. (A)</p> Signup and view all the answers

In radical simulation, what is the primary focus when understanding another person's behavior?

<p>Visualizing the world from the perspective of the other person. (C)</p> Signup and view all the answers

What distinguishes radical simulation from standard simulation according to Goldman?

<p>Radical simulation imagines situations without needing initial beliefs about the other’s mental state. (D)</p> Signup and view all the answers

What role does the simulator play in the radical simulation approach?

<p>The simulator actively envisions the world from the other person’s viewpoint. (B)</p> Signup and view all the answers

How does simulation theory differ in its approach to understanding mental states compared to theory-theory?

<p>Simulation theory relies on imagining the experience rather than abstract theorizing. (D)</p> Signup and view all the answers

What ability is crucial for passing the false belief task?

<p>Inhibiting the assumption that others' beliefs are always true (A)</p> Signup and view all the answers

What is the primary function of metarepresentation?

<p>Understanding that others can have true beliefs (C)</p> Signup and view all the answers

How does simulationism explain the understanding of other people's mental states?

<p>By projecting one's mental state into another's perspective (A)</p> Signup and view all the answers

What is a key difference between Leslie's and Perner's theories regarding mindreading?

<p>Leslie proposes a dedicated mindreading system, whereas Perner suggests general cognitive systems (A)</p> Signup and view all the answers

What is required for metarepresentation in relation to beliefs?

<p>Recognizing that some beliefs can be false (C)</p> Signup and view all the answers

Which statement best captures the idea of the Theory of Mind Module?

<p>It functions as a specific cognitive system for understanding others (D)</p> Signup and view all the answers

What do simulation theorists reject in their understanding of mindreading?

<p>That mindreading requires a specific cognitive system (B)</p> Signup and view all the answers

Which of the following statements most accurately describes the relationship between mindreading and metaphorical play?

<p>Both rely on the same cognitive mechanisms but develop at different ages (C)</p> Signup and view all the answers

Which concept emphasizes understanding another person's mental state through imagining oneself in their situation?

<p>Radical Simulation (D)</p> Signup and view all the answers

What is the primary difference between Standard Simulation and Radical Simulation?

<p>Standard Simulation begins with the simulator's beliefs, while Radical Simulation does not. (A)</p> Signup and view all the answers

Which aspect of Radical Simulation distinguishes it from other theories of mindreading?

<p>It emphasizes thinking about the world from another person's perspective. (B)</p> Signup and view all the answers

What does the term 'mindreading without metarepresentation' imply in the context of Radical Simulation?

<p>It denotes a lack of reliance on habitual psychological frameworks. (C)</p> Signup and view all the answers

Which psychological theory focuses on how simulators infer another's mental states by performing thought experiments?

<p>Simulation Theory (B)</p> Signup and view all the answers

What is required for children to pass the false belief task?

<p>Inhibiting the default assumption that others' beliefs are true (B)</p> Signup and view all the answers

What does metarepresentation involve?

<p>Drawing on background knowledge to attribute beliefs (A)</p> Signup and view all the answers

According to simulation theorists, mindreading is achieved through which process?

<p>Understanding social coordination and using our own mental model (C)</p> Signup and view all the answers

What key aspect distinguishes Leslie's Selection Processor Hypothesis from Perner's model?

<p>The requirement for recognizing false beliefs (D)</p> Signup and view all the answers

What primary function does the Theory of Mind Module serve?

<p>To facilitate mental state awareness through a theoretical framework (D)</p> Signup and view all the answers

Which of the following best illustrates the concept of metarepresentation?

<p>Identifying a banana as a phone (D)</p> Signup and view all the answers

What major difference exists between the Theory of Mind Module and Simulationism?

<p>The requirement of a dedicated cognitive system (A)</p> Signup and view all the answers

How does simulation theorists' view on mindreading differ from that of the Theory of Mind Module?

<p>They use one's own mind to predict others’ behaviors (D)</p> Signup and view all the answers

What is meant by 'informational encapsulation' in modularity?

<p>Modules can operate independently without external input. (C)</p> Signup and view all the answers

Which characteristic describes how modules respond to stimuli?

<p>They respond automatically and cannot be controlled voluntarily. (D)</p> Signup and view all the answers

What does the 'Massive Modularity Hypothesis' propose?

<p>All cognitive processes are modular with no central processing. (C)</p> Signup and view all the answers

Which is a key feature of 'domain specificity' in modules?

<p>Modules activate only for specific types of inputs. (C)</p> Signup and view all the answers

How do modules exhibit 'fixed neural architecture'?

<p>Modules correspond to specific brain regions and neural pathways. (D)</p> Signup and view all the answers

What does 'central inaccessibility' refer to in the context of modules?

<p>Information processed by modules is not accessible to other mental processes. (B)</p> Signup and view all the answers

Which statement best describes the concept of 'innate' in relation to modules?

<p>Modules are present from birth and require no prior experience. (B)</p> Signup and view all the answers

What role do 'specific breakdown patterns' play in understanding modules?

<p>They demonstrate predictable failure modes of modules. (B)</p> Signup and view all the answers

Flashcards

Behaviorism's Focus

Behaviorism focuses scientific explanations on the relationship between stimulus, response, and the environment, excluding internal mental states like thoughts, feelings, and desires.

Behaviorism Key Concepts

Behaviorism's core concepts involve understanding actions (responses) based on stimuli and environmental factors.

Excluded Mental States

Behaviorism excludes internal mental processes like thoughts, memories, feelings, intentions, and desires from explanations.

Focus of Behaviorism

Behaviorism's scientific approach directs attention to external observable factors that influence actions.

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Behaviorism's Scientific Explanation

A scientific explanation in behaviorism hinges on the relationship between external stimulus, response, and surrounding environment.

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Learning

Experiences that cause a lasting change in a learner's state.

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Classical Conditioning

Connecting a neutral stimulus with an unconditioned stimulus to create an association.

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Operant Conditioning

Learning by associating behavior with consequences (rewards or punishments).

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Law of Effect

Repeated patterns of behavior are learned through rewards and avoided if punished.

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Skinner Box

A test apparatus to observe how consequences of an action shape behaviors.

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What is behaviorism's focus?

Behaviorism focuses on explaining behavior through the relationship between stimuli, responses, and the environment. It excludes internal mental states like thoughts and feelings.

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What does behaviorism ignore?

Behaviorism ignores internal mental processes like thoughts, memories, feelings, intentions, and desires.

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Stimulus

A stimulus is anything in the environment that can trigger a response in an organism.

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Response

A response is any action or behavior that an organism performs in reaction to a stimulus.

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Environment

The environment encompasses everything around the organism that can influence its behavior.

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What is learning?

A process where experience causes a relatively permanent change in the learner's state.

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Habituation

A decrease in response to a repeated stimulus.

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Sensitization

An increase in response to a repeated stimulus.

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Latent Learning

Learning that occurs without immediate reinforcement. The knowledge is acquired but not demonstrated until later when reinforcement becomes available.

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Place Learning

Learning the spatial layout of an environment.

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Response Learning

Learning a series of movements or actions in a specific sequence.

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Cognitive Maps

Internal representations of the spatial layout of an environment.

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Tolman and Honzik (1930)

A key study demonstrating latent learning. Rats learned a maze without immediate reward, but only showed their knowledge when reinforcement was introduced.

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Tolman, Ritchie, and Kalish (1946)

Studied place learning in rats. Supported the idea that rats learn spatial layouts rather than simple sequences of movements.

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Stimulus-Response Association

The core of behaviorism, focusing on how stimuli elicit specific responses.

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Introspection's Limitations

The difficulty of accessing and objectively measuring unconscious mental processes.

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What is the challenge of identifying stimuli and responses?

It's difficult to isolate and identify the exact stimulus that leads to a particular response, as there are often multiple factors influencing behavior.

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What is the problem with assuming 'mental states' in behaviorism?

Behaviorism rejects explanations that rely on internal mental states, as they are not directly observable.

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What is the 'law of effect'?

The 'law of effect' states that behavior is repeated if it leads to a positive outcome (reward) and avoided if it leads to a negative outcome (punishment).

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Why is behaviorism important?

Behaviorism offers a way to understand and predict behavior in a scientifically rigorous way, focusing on observable factors.

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What is the problem with identifying stimuli and responses?

It's difficult to isolate and identify the exact stimulus that leads to a particular response, as there are often multiple factors influencing behavior.

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What are symbols in Cognitive Science?

Physical patterns that can be combined to create more complex structures, representing information.

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What are processes in Cognitive Science?

Rules or operations that transform symbols and symbol structures, allowing for manipulation of information. These processes can also be represented by symbols.

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What is the search space in problem solving?

The set of all possible states that can be reached by applying permissible transformations to an initial state. It represents all potential solutions.

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What is means-end analysis?

A problem-solving strategy that involves breaking down a goal into smaller sub-goals and then finding ways to achieve those sub-goals.

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How can processes be represented?

Processes for transforming symbols can themselves be represented as symbols. This allows for complex computations.

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Computation

A process of representing a problem, applying rules to manipulate that representation, and ultimately arriving at a representation of the solution.

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Turing Machine

A theoretical model of computation that simulates the logic of a computer, manipulating symbols on a tape according to a set of rules.

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Physical Symbol System Hypothesis

The idea that a system capable of manipulating physical symbols can exhibit intelligent behavior, including thinking, understanding, and problem-solving.

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What does 'compute' mean?

To compute means to represent a problem, follow rules to manipulate that representation, and form a representation of the solution by following those rules.

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What is a physical symbol system?

A physical symbol system is a system that can manipulate physical symbols to represent and process information.

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How can a physical symbol system be intelligent?

A physical symbol system can exhibit intelligent behavior if it can manipulate symbols to represent knowledge, reason about that knowledge, and solve problems.

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What is the significance of the Physical Symbol System Hypothesis?

It suggests that intelligence, traditionally considered unique to humans, can be emulated in artificial systems.

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Can intelligence exist in a physical symbol system?

The Physical Symbol System Hypothesis argues that physical symbol systems have the necessary and sufficient means for general intelligent action.

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Causation by Content

A type of causation where the meaning or content of a representation, rather than just its physical form, determines its causal effect.

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Syntactic Level

The level of representation focused on the formal structure, like the arrangement of words in a sentence.

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Semantic Level

The level of representation focused on the meaning or content of a symbol.

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Language of Thought (LOT)

A hypothetical language used by the mind to represent thoughts and ideas, where mental operations are performed on these representations.

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LOT: Symbols

Representations in the LOT are considered to be like sentences in this internal language.

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LOT: Transformations

Mental operations are performed on LOT representations through syntactic rules that mirror semantic relations.

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LOT: Behavior

Causal interactions between physical states arising from LOT transformations ultimately lead to behavior.

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LOT: Key Claim

Fodor's claim is that causation in the mind is ultimately determined by causal interactions between physical structures representing thoughts.

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Physical Symbol System

A system that uses physical patterns (symbols) to represent information and has processes (rules) to manipulate these symbols. This system is believed to be capable of general intelligent action.

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Language of Thought Hypothesis

The theory that humans think using a language-like system of mental representations (symbols) and processes (rules) for manipulating these symbols.

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Propositional Attitude

A mental representation that captures someone's belief or desire about the world. It consists of two parts: the content of the belief or desire (the proposition) and the attitude (belief, desire, etc.).

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What is the propositional content of a thought?

It's the factual part of a thought, the information it conveys about the world.

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What is the attitudinal component of a thought?

It's the emotional or evaluative aspect of a thought. It tells you how someone feels about the propositional content.

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Eliminative Materialism

A philosophical view that denies the existence of mental states like beliefs and desires, arguing that our behavior is solely caused by neurochemical processes in the brain.

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Intentional Realism

The belief that mental states like beliefs and desires are real and causally effective in shaping our behavior.

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How do mental states cause behavior?

This is a central question in cognitive science. It tries to understand how our beliefs and desires translate into actions, possibly through complex processes involving the brain.

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Syntax

The formal structure of symbols, focusing on their arrangement and relationships without considering their meaning.

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Semantics

The meaning of symbols, focusing on their interpretation and what they represent in the real world.

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Multiple Realizability

The idea that the same mental state or property can be implemented by different physical structures or processes.

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Chinese Room Argument

A thought experiment that challenges the notion of strong AI, arguing that a system can pass the Turing test without truly understanding language or thought.

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Turing Test

A test designed to assess a machine's ability to exhibit intelligent behavior indistinguishable from that of a human.

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Syntax vs. Semantics

Syntax refers to the structural arrangement of symbols, while semantics refers to the meaning of those symbols. For example, in the sentence "The cat sat on the mat," the syntax identifies the order of words, while the semantics convey understanding of what a cat, a mat, and sitting are.

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The Chinese Room Argument

The Chinese Room is a thought experiment that challenges the idea that a computer program can truly understand language. It argues that a person inside a room, following rules to manipulate Chinese symbols, can appear to understand Chinese, but lacks genuine comprehension.

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What is genuine understanding?

Genuine understanding involves more than just manipulating symbols according to rules. It requires a deeper connection between the symbols and their meaning, allowing for interpretation and comprehension.

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Turing Test and Understanding

The Turing Test assesses a machine's ability to exhibit intelligent behavior. However, the Chinese Room argument suggests that even if a machine passes the Turing Test, it might not truly understand the language it uses.

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The Importance of Interpretation

Searle argues that understanding requires attaching meaning to symbols, beyond simply knowing their formal structure. This highlights the crucial role of interpretation in cognitive processes.

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Strong AI

The idea that appropriately programmed computers could possess genuine intelligence and understanding, just like humans.

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Systems Reply to Chinese Room Argument

The claim that even if the individual in the room doesn't understand Chinese, the system as a whole (including the room, rules, and symbols) might understand.

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Robot Reply to Chinese Room Argument

The argument that a true understanding of language goes beyond simply responding correctly to prompts and involves interacting with the world in a meaningful way.

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Derived Intentionality

The meaning of symbols in a computer system is assigned by humans, not inherent in the symbols themselves.

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Original Intentionality

The meaning of symbols in our brain is not assigned by someone else, but arises from our internal mental processes.

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Input-Output Test

Evaluating a system's ability to understand language solely based on its ability to respond correctly to verbal input.

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Walking: Planned or Emergent?

Walking doesn't require a pre-programmed set of commands. It emerges from a complex interplay of muscles, limbs, and the environment.

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Coupled System

The body and the environment work together in walking, constantly adjusting to each other.

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Baby's Stepping Development

Babies show a U-shaped development of walking. They can step initially, lose the ability, then regain it.

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Conventional Explanation vs. DST

The traditional view states walking emerges as the brain matures. DST argues it's caused by interactions with the environment.

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Stepping in Water

Babies can step in water even if they haven't learned to walk yet.

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Dynamical Systems Theory (DST) for Walking

Models walking as a result of interactions between leg fat, muscle strength, gravity, and inertia.

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Variables in DST Walking Model

Key variables are leg fat, muscle strength, gravity, and inertia - all influencing walking.

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DST: Environment's Role

Environmental changes can encourage stepping even before the brain is fully mature.

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Object Permanence

The understanding that objects continue to exist even when they are not visible. This is a crucial developmental milestone for infants.

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The A-not-B Error

A phenomenon where infants, around 7-12 months old, reach for a hidden object in its original location, even after watching it being moved to a new location.

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Baillargeon's Drawbridge Experiment

A classic experiment demonstrating infants’ understanding of object permanence. Infants react to impossible events, like a drawbridge seemingly passing through a solid object, suggesting they understand objects can't occupy the same space.

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Thelen and Smith's Dynamical Systems Theory (DST)

A theory suggesting infant behavior, like reaching for objects, is influenced by a complex interplay of factors, including environmental conditions, task demands, and previous experiences (memory).

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DST vs. Representational Capacity

Thelen and Smith's DST emphasizes the role of the environment and other factors in shaping infant behavior, in contrast to traditional cognitive explanations that focus on mental representations and brain development.

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Dynamical Systems Hypothesis

A theory proposing that cognition should be understood as the result of a dynamic system interacting with its environment, rather than as a series of information-processing steps.

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What is a dynamical system?

Any system that changes over time, where its state is influenced by multiple interacting factors.

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State Space

A visual representation of all possible states a dynamical system can be in. Each dimension represents a variable that changes over time.

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Dynamical Model

A method for describing how a system changes over time focusing on key quantities and their relationships.

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Cognitively Irrelevant Variables

Factors that don't directly relate to the cognitive task but still influence the outcome.

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A Not B Error

An error that children make when searching for an object that they previously saw hidden in one location but is now hidden in a different location.

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Walking Development: DST vs. Conventional Explanation

DST proposes that walking emerges through interactions with the environment and development of physical capabilities, while the traditional view suggests that it develops as the brain matures.

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How does DST explain walking?

DST models walking as a complex interplay of factors like muscle strength, leg fat, gravity, and inertia.

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ANN

Artificial Neural Networks are computational models inspired by the structure and function of the human brain. They consist of interconnected nodes (neurons) that process and transmit information.

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Connectionism vs. PSSH

Connectionism proposes that intelligence arises from interconnected networks of simple units like neurons, while the Physical Symbol System Hypothesis (PSSH) suggests that intelligence comes from manipulating symbolic representations.

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Distributed Representations

In neural networks, information is often encoded across multiple units, not stored in a single, dedicated location. This allows for more flexible and robust representations.

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Activation Function

An activation function in a neural network determines the output of a neuron based on its input. It introduces non-linearity to allow the network to learn complex relationships.

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Superpositional Storage

A neural network's learned knowledge is encoded in the pattern of weights between its neurons. This means that all knowledge is stored in a single set of weights, not as discrete items.

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Connectionist Networks vs. Physical Symbol Systems

Connectionist models often use distributed representations and lack task-specific rules, while physical symbol systems rely on discrete representations and specific rules for manipulating them.

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What are the representations in a neural network?

Representations in neural networks are often distributed, meaning they are not localized to specific units but encoded across multiple neurons in the network. The network's knowledge is stored in the pattern of weights and thresholds.

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Why are distributed representations powerful?

Distributed representations allow a network to represent a wide range of concepts and features without needing a dedicated unit for each one. This makes the network more efficient and allows it to adapt to new information easily.

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Connectionism

This theory believes intelligence emerges from interconnected networks of simple units, like neurons, learning through experience.

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Physical Symbol System Hypothesis (PSSH)

This hypothesis states that intelligence arises from manipulating symbolic representations, akin to a computer processing symbols.

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How do ANNs learn?

ANNs learn through a process called training, where they adjust their weights and thresholds to minimize errors in predicting outputs for given inputs.

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What is the difference between ANNs and PSSH?

ANNs are based on interconnected nodes, while PSSH focuses on symbolic representations. ANNs are more like the brain, while PSSH resembles a computer.

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Unconscious Inference

The idea that we unconsciously make inferences about the world based on our sensory experiences.

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Bayesian Inference

A method of reasoning that combines prior knowledge with new evidence to make estimates about the likelihood of events.

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Proximal Stimulus

The immediate sensory information we receive, like the light patterns hitting our eyes.

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Distal Environment

The actual world around us, which we infer from our sensory experiences.

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Gestalt Grouping

A set of principles describing how we perceive objects as organized wholes, rather than just a collection of parts.

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Unsupervised Learning

A type of machine learning where the algorithm learns patterns from unlabeled data without external feedback.

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Hebbian Learning

A learning rule where neurons that fire together strengthen their connection, reflecting the idea that correlated activity leads to synaptic plasticity.

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Perceptron Convergence Rule (Delta Rule)

An algorithm used to train single-layer neural networks, adjusting weights and thresholds based on the error between actual and intended outputs.

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Backpropagation

A learning algorithm used for training multi-layer neural networks, where error information is propagated backward through the network to adjust weights.

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Multilayer Networks

Neural networks with multiple layers of interconnected nodes, allowing for complex computations and the ability to learn non-linear functions.

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Artificial Neural Networks (ANN)

Computational models inspired by the structure and function of biological neural networks, used for tasks like image recognition and natural language processing.

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ANN's Power

Artificial Neural Networks (ANNs) can compute any computable function, making them as powerful as Turing machines.

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Training ANNs

Training an ANN involves adjusting its internal connections (weights) to learn how to solve a specific problem, even if the network was initially designed for something else.

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Single-Unit Networks

Single-unit ANNs act like logic gates, able to compute basic Boolean functions like AND, OR, NOT.

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Boolean Functions

Functions that take truth values (True or False) as input and produce truth values as output.

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Truth Tables

A way to represent Boolean functions by listing all possible input combinations and their corresponding output values.

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Single-Unit Network: Representation

Single-unit ANNs can be configured to represent Boolean functions by setting their weights, activation functions, and thresholds appropriately.

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Learning in ANNs

ANNs allow us to model how information processing abilities are learned by modifying their connection weights.

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Symbolic Systems vs. ANNs

Without learning, networks of single-unit ANNs are simply implementations of symbolic systems, whereas learning makes ANNs far more dynamic and adaptable.

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Mindreading

The ability to understand and predict other people's behavior by attributing mental states (thoughts, beliefs, desires) to them.

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Theory of Mind

The capacity to understand that other people have their own beliefs, thoughts, and feelings, which may be different from our own.

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Pretense

When we use one thing to represent another. For example, using a banana as a telephone.

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Meta-representation

Representing something as a representation. In pretend and mindreading, basic concepts are used to create a new, more complex understanding.

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False Belief Task

A test to determine if someone understands that others can have beliefs that are different from reality.

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The Mind Reading System

Baron-Cohen's model of how mindreading develops, involving several stages, starting with detecting intentions, emotions, and eye direction, and progressing to more complex abilities.

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Shared Attention Mechanism (SAM)

The ability to focus attention on the same object or event as another person.

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The Empathy System (TESS)

The capacity to understand and share the emotions of others.

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Simulation Theory

The idea that we understand other people's mental states by imagining ourselves in their situation and experiencing their thoughts and feelings.

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Standard Simulation

A version of the Simulation Theory where we imagine ourselves with the other person's beliefs and then ask what we would do in that situation.

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Radical Simulation

A version of the Simulation Theory where we imagine how the world appears to the other person and predict their behavior based on that perspective, without needing to represent their mental states.

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Mindreading without Metarepresentation?

The question of whether we can understand someone else's mental states without explicitly representing their thoughts and feelings.

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Radical Simulation: No Mental State Representation

Radical Simulation suggests that we can understand other people's mental states without having to explicitly represent their thoughts and feelings.

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Theory of Mind Module

A hypothetical specialized cognitive system dedicated to understanding and predicting the mental states of others, based on the assumption that mindreading relies on a mental theory.

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Theory of Mind vs. Simulation

Two contrasting perspectives on how we understand other people's minds: one posits a specialized cognitive system, the other suggests relying on our own mental processes.

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Decoupling

The ability to separate our own beliefs and knowledge from those of others, allowing us to recognize that someone else may have a different perspective.

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Pretend Play

A type of play where children engage in imaginative activities that involve creating imaginary scenarios and adopting different roles.

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Passing the False Belief Task

Successfully predicting what another person will do, based on their incorrect knowledge, indicating understanding of false beliefs.

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Theory-theory

The idea that understanding others' mental states involves applying psychological theories to infer their mental states from their behavior.

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Decision-Making Systems

The processes in your brain that help you make choices and decisions, based on your thoughts, feelings, and available information.

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Modular Analysis

Breaking down complex tasks into smaller, relatively independent modules.

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Domain Specificity

A module responds only to specific inputs and processes information within a limited domain.

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Informational Encapsulation

A module can only access information within its own boundaries.

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Mandatory Application

Modules respond automatically to appropriate stimuli without conscious control.

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Central Processing

A cognitive system that operates holistically, integrating information across different domains.

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Massive Modularity Hypothesis

The idea that all cognitive processes are modular, with no central processing.

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Darwinian Modules

Modules that evolved to solve specific problems, allowing for more complex cognitive processes.

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Study Notes

Weekly Quizzes

  • Quizzes start this week.
  • Due date: Friday, 11:59 pm.
  • Submission method: eclass.
  • Grace period: Submission link remains open until Monday, 11:59 pm.
  • No extensions are available.
  • Permission is not required to submit during the grace period.

Quizzes - Reflection Question

  • Write one or two paragraphs describing and engaging with key points from lectures, readings, and discussions.
  • No right or wrong answer, but better and worse answers exist.
  • Possible reflection prompts:
    • Key points from lectures, readings, or discussions to remember.
    • Points or questions needing further exploration from lectures, readings, or discussions.
    • Comments or questions that were desired to be made.
    • Any changes in perspective after the week's material.
  • Responses are graded out of 5 points on clarity, conciseness, and compellingness.
  • Substance and active engagement are essential for a full 5-point score.

Behaviorism

  • A prehistory of Cognitive Science.
  • Emphasizes observable behavior over internal mental states.
  • Primarily focuses on the relationship of stimulus and response.
  • Scientific theories of the mind should be based on observable stimulus-response relationships.
  • Focuses on observable stimuli and responses and their relations; ignores internal cognitive states.

Early 20th Century Behaviorism

  • Rejection of internal states like thoughts and feelings.
  • Key figures: John Watson and B.F. Skinner.
  • Behaviorism rejected the study of internal mental states in cognitive science, instead relying on observable stimuli and responses.
  • Argued that internal states were unnecessary for scientific explanation of behavior.

Behaviorism - Scientific Explanations

  • In (input): Stimulus, Response, Environment.
  • Out (output): Thoughts, Memories, Feelings, Intentions, Desires, etc. (excluded from scientific explanations).
  • Scientific explanations focus on relationships between stimulus and response.
  • Changes in that relationship depend on additional stimuli (conditioning or reinforcement).
  • Behaviorism provides a framework that limits consideration to observable factors in scientific explanations; internal mental states are not considered.

Behaviorism and Learning

  • Experience results in permanent changes in learners.
  • Simple learning: Habituation and Sensitization.
  • Complex learning: Classical and Operant Conditioning.

Classical Conditioning

  • Associated learning that strengthens the association between a neutral and unconditioned stimulus.
  • Key figure: Ivan Pavlov.
  • Classical conditioning involves associating a previously neutral stimulus with an unconditioned stimulus to cause a conditioned response.
  • Learning through association between stimuli.

Operant Conditioning

  • Thorndike Box: Animals associate behaviors with consequences; repetition of behavior is a function of learned consequences (the Law of Effect).
  • Law of Effect: Animals repeat rewarded behaviors and avoid punished behaviors.
  • Skinner Box: Used for better studying how reinforcement and punishment effects behavior.
  • Association between behavior and reinforcement is essential.
  • Operant responses: responses that produce effects.
  • Reinforcement (+): a stimulus change after a response that increases subsequent response frequency (e.g., reward).
  • Punishment (-): a stimulus change after a response that decreases subsequent response frequency (e.g., penalty).
  • Operant Conditioning: a learning process where the effects of a response affect future response rates.
  • Law of Effect: Animals will repeat rewarded behaviors and avoid punished behaviors.
  • Extinction: Reduced response when the operant response is no longer followed by a reinforcer.
  • Discriminative Stimulus: a signal that a particular response will produce a particular reinforcer.
  • Stimulus Generalization: Increased production of the operant response to stimuli resembling the discriminative stimulus.
  • Stimulus Discrimination: Training that decreases generalization by only reinforcing the response to one and not another.
  • Shaping: Reinforcing successively closer approximations of a desired response (until it's performed).

Feeling Sad

  • Determining if someone feels sad is based on observable behaviors.
  • "Sadness" is reduced to observable behavior, lacking emotional nuance.
  • Eliminativist view: Sadness is entirely behavioral; no internal state of sadness exists.
  • Behaviorism's approach to understanding sadness restricts analysis to observable actions; the internal state of sadness is not considered. Note: This view is contested by other schools of thought in psychology (such as intentional realism).

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Engage deeply with key points from lectures and readings on behaviorism. This quiz invites you to reflect on your learning, exploring critical concepts that were discussed and identifying areas for further inquiry. Your responses will be evaluated on clarity and engagement.

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